Opinion
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Drawing on HBR’s ‘Where Data-Driven Decision-Making Can Go Wrong,’ this post connects insights from the authors’ research to strengthen the idea that by defining clear ‘impact paths,’ avoiding ‘decision black holes,’ and resisting the temptation to ‘shoehorn data,’ organizations can make better decisions.
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In today’s data-driven world, it’s not enough to simply include charts and metrics in business presentations. The true test of data-driven decision-making lies not in the presence of numbers on a slide, but in the clear and logical bridge between those numbers, the insights they generate, and the decisions they guide. Too often, data suffers…
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In today’s data-driven landscape, many data scientists face the frustration of their hard work disappearing into the “decision black hole,” where insights fail to translate into measurable outcomes. This blog introduces the concept of impact paths—structured, traceable frameworks that connect data-driven insights to business decisions and their “tangible” results. By defining clear objectives, crafting actionable…
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Let’s sketch some broad strokes to delineate these roles. Though exceptions abound – and every organization is different – this framework might help clarify some important overall distinctions between these roles. Analyst: the traditional Analyst role primarily engages in standard reporting and ad-hoc analysis to probe deeper into business performance. They certainly support decision-making processes…
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I propose a new working definition of the Decision Science function within Marketing. One where the driving force behind all efforts is a relentless pursuit of the understanding and optimization of incrementality and lift. Incrementality measures the actual impact that a marketing activity) has on a result or key performance indicator (KPI). It refers to…
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Generative Artificial Intelligence (GenAI) is revolutionizing our approach to data analytics and we are just witnessing the beginning of its impact. How, then, will GenAI influence both the demand for Decision Scientists and the evolution of this role within organizations? GenAI has notably enhanced the efficiency of data scientists by speeding up code generation and…
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Let me give a quick overview of what Decision Sciences is and why it is increasingly important, including some pretty staggering findings on how poor, ill-informed decisions destroy business value. In the broadest sense, Decision Sciences is an established interdisciplinary approach to research that covers business, public policy, healthcare, non-profit organizations, and beyond. In more…